Category: Big Data Beginner
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Architecting Big Data Applications: Batch Mode Application Engineering
Learn about use cases and best practices for architecting batch mode applications using big data technologies such as Hive and Apache Spark. https://www.classcentral.com/course/linkedin-learning-architecting-big-data-applications-batch-mode-application-engineering-75133
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Big Data Analytics Tutorial for Beginners
This session on ‘Big Data Tutorial’ will help you to master all the concepts of Big Data Analytics such as Big Data Ecosystem, Hadoop and NoSQL Databases. Data, in today’s world, is indispensable. Today, we’re surrounded by data. People upload videos, take pictures on their cell phones, text friends, update their Facebook status, leave comments…
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Big Data Analytics – Big Data Hadoop Tutorial
With Digital Data Consumption at its peak, the world has turned to Big Data for maintenance and analytics of this data. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to…
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Big Data Analytics for Beginners
This course on Big Data Analytics for Beginners aims to help learners understand the Big Data landscape, Big Data Value Chain, Hadoop Landscape, Apache Spark, ETL in Big Data, and Cloudera Distribution for Big Data. The course teaches key functions and concepts through demonstrations and examples. The intended audience for this beginner-friendly tutorial includes individuals…
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AI and Big Data in Global Health Improvement
In an era where big data and artificial intelligence play an important role in healthcare, data sharing has huge potential for global health improvement and patient safety. On this four-week course, you’ll explore the benefits and challenges of sharing healthcare data globally. With support from industry experts, you’ll consider topics like the future of medical…
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Big Data Analysis with Apache Spark
Organizations use their data to support and influence decisions and build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term ‘data science’. This statistics and data analysis course will attempt to articulate the expected output of…
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Big Data Analytics auf Deutsch
In diesem Kurs werden grundlegende Kenntnisse im Bereich der Datenanalyse vermittelt. Techniken zur Analyse großer Datenbestände stoßen bei Anwendern auf großes Interesse. Das Spektrum an Anwendungen ist breit und umfasst sowohl wirtschaftliche als auch wissenschaftliche Datenbestände: Klassische Branchen wie Banken und Versicherungen, neuere Akteure, insbesondere Internet-Firmen oder Betreiber neuartiger Informationsdienste und sozialer Medien, sowie Natur-…
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Data Engineer, Big Data and ML on Google Cloud auf Deutsch
Dieser fünfwöchige Onlinevertiefungskurs bietet eine praktische Einführung zum Entwerfen und Erstellen von Datenverarbeitungssystemen auf der Google Cloud. In Präsentationen, Demos und praxisorientierten Labs entwickeln die Teilnehmer Datenverarbeitungssysteme, erstellen End-to-End-Datenpipelines, analysieren Daten und üben maschinelles Lernen. Dieser Kurs vermittelt den Teilnehmern die folgenden Kompetenzen: • Datenverarbeitungssysteme auf der Google Cloud entwickeln • Unstrukturierte Daten mit Spark…
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Big Data Systems
There are 2 main roles in the Big Data industry: Big Data Engineer and Big Data Architect. We will focus on the Architect role. We will look at the characteristics of Big Data, its business value, and how companies are using Big Data today. We study the most popular storage and processing frameworks…..aka…Big Data ecosystem…
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Intro to Big Data, Data Science & Predictive Analytics
This course introduces learners to the world of Big Data, Data Science, and Predictive Analytics. The goal is to provide a broad understanding of these fields and the components of a big data pipeline. The course covers topics such as predictive modeling, customer churn prediction, data collection, real-time analytics, data mining, and descriptive analytics. The…
